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Evaluation of district mental healthcare plans: the PRIME consortium methodology

Background Few studies have evaluated the implementation and impact of real-world mental health programmes delivered at scale in low-resource settings. Aims To describe the cross-country research methods used to evaluate district-level mental healthcare plans (MHCPs) in Ethiopia, India, Nepal, South...

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Detalles Bibliográficos
Autores principales: De Silva, Mary J., Rathod, Sujit D., Hanlon, Charlotte, Breuer, Erica, Chisholm, Dan, Fekadu, Abebaw, Jordans, Mark, Kigozi, Fred, Petersen, Inge, Shidhaye, Rahul, Medhin, Girmay, Ssebunnya, Joshua, Prince, Martin, Thornicroft, Graham, Tomlinson, Mark, Lund, Crick, Patel, Vikram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of Psychiatrists 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698558/
https://www.ncbi.nlm.nih.gov/pubmed/26447175
http://dx.doi.org/10.1192/bjp.bp.114.153858
Descripción
Sumario:Background Few studies have evaluated the implementation and impact of real-world mental health programmes delivered at scale in low-resource settings. Aims To describe the cross-country research methods used to evaluate district-level mental healthcare plans (MHCPs) in Ethiopia, India, Nepal, South Africa and Uganda. Method Multidisciplinary methods conducted at community, health facility and district levels, embedded within a theory of change. Results The following designs are employed to evaluate the MHCPs: (a) repeat community-based cross-sectional surveys to measure change in population-level contact coverage; (b) repeat facility-based surveys to assess change in detection of disorders; (c) disorder-specific cohorts to assess the effect on patient outcomes; and (d) multilevel case studies to evaluate the process of implementation. Conclusions To evaluate whether and how a health-system-level intervention is effective, multidisciplinary research methods are required at different population levels. Although challenging, such methods may be replicated across diverse settings.